import os
import unicodedata
from shutil import copyfile
from typing import Any, Dict, List, Optional, Tuple

import sentencepiece as spm

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import SPIECE_UNDERLINE, logging


_SCREAMING_SNAKE_CASE 		=      logging.get_logger(__name__)

_SCREAMING_SNAKE_CASE 		=      {"""vocab_file""": """spiece.model"""}

_SCREAMING_SNAKE_CASE 		=      {
    """vocab_file""": {
        """TsinghuaAI/CPM-Generate""": """https://huggingface.co/TsinghuaAI/CPM-Generate/resolve/main/spiece.model""",
    }
}
class SCREAMING_SNAKE_CASE_		(      __lowerCAmelCase		):







   def __init__(     self						:						Optional[int]   ,   lowerCamelCase_						:						int   ,   lowerCamelCase_						:						List[str]=False   ,   lowerCamelCase_						:						Dict=True   ,   lowerCamelCase_						:						int=False   ,   lowerCamelCase_						:						Union[str, Any]="<s>"   ,   lowerCamelCase_						:						List[str]="</s>"   ,   lowerCamelCase_						:						List[str]="<unk>"   ,   lowerCamelCase_						:						Optional[Any]="<sep>"   ,   lowerCamelCase_						:						Tuple="<pad>"   ,   lowerCamelCase_						:						List[Any]="<cls>"   ,   lowerCamelCase_						:						int="<mask>"   ,   lowerCamelCase_						:						str=["<eop>", "<eod>"]   ,   lowerCamelCase_						:						Optional[Dict[str, Any]] = None   ,   **lowerCamelCase_						:						int   ,   ):





    """simple docstring"""


    UpperCamelCase			  =      AddedToken(lowerCamelCase_   ,   lstrip=lowerCamelCase_   ,   rstrip=lowerCamelCase_				) if isinstance(lowerCamelCase_   ,   lowerCamelCase_				) else mask_token

    UpperCamelCase			  =      {} if sp_model_kwargs is None else sp_model_kwargs

    super().__init__(
        do_lower_case=lowerCamelCase_   ,   remove_space=lowerCamelCase_   ,   keep_accents=lowerCamelCase_   ,   bos_token=lowerCamelCase_   ,   eos_token=lowerCamelCase_   ,   unk_token=lowerCamelCase_   ,   sep_token=lowerCamelCase_   ,   pad_token=lowerCamelCase_   ,   cls_token=lowerCamelCase_   ,   mask_token=lowerCamelCase_   ,   additional_special_tokens=lowerCamelCase_   ,   sp_model_kwargs=self.sp_model_kwargs   ,   **lowerCamelCase_   ,   )

    UpperCamelCase			  =      3

    UpperCamelCase			  =      do_lower_case
    UpperCamelCase			  =      remove_space
    UpperCamelCase			  =      keep_accents
    UpperCamelCase			  =      vocab_file

    UpperCamelCase			  =      spm.SentencePieceProcessor(**self.sp_model_kwargs				)
    self.sp_model.Load(lowerCamelCase_				)

    try:
     import jieba
    except ModuleNotFoundError as error:
     raise error.__class__(
         """You need to install jieba to use CpmTokenizer or CpmTokenizerFast. """
         """See https://pypi.org/project/jieba/ for installation."""				)
    UpperCamelCase			  =      jieba
    UpperCamelCase			  =      str.maketrans(""" \n"""   ,   """\u2582\u2583"""				)







   @property
   # Copied from transformers.models.xlnet.tokenization_xlnet.XLNetTokenizer.vocab_size
   def 						lowerCamelCase_	(     self						:						Optional[Any]				):





    """simple docstring"""


    return len(self.sp_model				)







   def 						lowerCamelCase_	(     self						:						Optional[int]				):





    """simple docstring"""


    UpperCamelCase			  =      {self.convert_ids_to_tokens(lowerCamelCase_				): i for i in range(self.vocab_size				)}
    vocab.update(self.added_tokens_encoder				)
    return vocab







   def __getstate__(     self						:						int				):





    """simple docstring"""


    UpperCamelCase			  =      self.__dict__.copy()
    UpperCamelCase			  =      None
    return state







   def __setstate__(     self						:						Any   ,   lowerCamelCase_						:						Tuple				):





    """simple docstring"""


    UpperCamelCase			  =      d

    # for backward compatibility
    if not hasattr(self   ,   """sp_model_kwargs"""				):
     UpperCamelCase			  =      {}

    UpperCamelCase			  =      spm.SentencePieceProcessor(**self.sp_model_kwargs				)
    self.sp_model.Load(self.vocab_file				)







   def 						lowerCamelCase_	(     self						:						int   ,   lowerCamelCase_						:						int				):





    """simple docstring"""


    if self.remove_space:
     UpperCamelCase			  =      """ """.join(inputs.strip().split()				)
    else:
     UpperCamelCase			  =      inputs
    UpperCamelCase			  =      outputs.replace("""``"""   ,   """\""""				).replace("""''"""   ,   """\""""				)

    if not self.keep_accents:
     UpperCamelCase			  =      unicodedata.normalize("""NFKD"""   ,   lowerCamelCase_				)
     UpperCamelCase			  =      """""".join([c for c in outputs if not unicodedata.combining(lowerCamelCase_				)]				)
    if self.do_lower_case:
     UpperCamelCase			  =      outputs.lower()

    return outputs







   def 						lowerCamelCase_	(     self						:						Union[str, Any]   ,   lowerCamelCase_						:						str				):





    """simple docstring"""


    UpperCamelCase			  =      self.preprocess_text(lowerCamelCase_				)
    UpperCamelCase			  =      self.sp_model.encode(lowerCamelCase_   ,   out_type=lowerCamelCase_				)
    UpperCamelCase			  =      []
    for piece in pieces:
     if len(lowerCamelCase_				) > 1 and piece[-1] == str(""","""				) and piece[-2].isdigit():
      UpperCamelCase			  =      self.sp_model.EncodeAsPieces(piece[:-1].replace(lowerCamelCase_   ,   """"""				)				)
      if piece[0] != SPIECE_UNDERLINE and cur_pieces[0][0] == SPIECE_UNDERLINE:
       if len(cur_pieces[0]				) == 1:
        UpperCamelCase			  =      cur_pieces[1:]
       else:
        UpperCamelCase			  =      cur_pieces[0][1:]
      cur_pieces.append(piece[-1]				)
      new_pieces.extend(lowerCamelCase_				)
     else:
      new_pieces.append(lowerCamelCase_				)

    return new_pieces







   def 						lowerCamelCase_	(     self						:						Tuple   ,   lowerCamelCase_						:						List[Any]				):





    """simple docstring"""


    return self.sp_model.PieceToId(lowerCamelCase_				)







   def 						lowerCamelCase_	(     self						:						List[Any]   ,   lowerCamelCase_						:						int				):





    """simple docstring"""


    return self.sp_model.IdToPiece(lowerCamelCase_				)







   def 						lowerCamelCase_	(     self						:						str   ,   lowerCamelCase_						:						Tuple				):





    """simple docstring"""


    UpperCamelCase			  =      """""".join(lowerCamelCase_				).replace(lowerCamelCase_   ,   """ """				).strip()
    return out_string







   def 						lowerCamelCase_	(     self						:						int   ,   lowerCamelCase_						:						List[int]   ,   lowerCamelCase_						:						Optional[List[int]] = None				):





    """simple docstring"""


    UpperCamelCase			  =      [self.sep_token_id]
    UpperCamelCase			  =      [self.cls_token_id]
    if token_ids_a is None:
     return token_ids_a + sep + cls
    return token_ids_a + sep + token_ids_a + sep + cls







   def 						lowerCamelCase_	(     self						:						str   ,   lowerCamelCase_						:						List[int]   ,   lowerCamelCase_						:						Optional[List[int]] = None   ,   lowerCamelCase_						:						bool = False				):





    """simple docstring"""


    if already_has_special_tokens:
     return super().get_special_tokens_mask(
         token_ids_a=lowerCamelCase_   ,   token_ids_a=lowerCamelCase_   ,   already_has_special_tokens=lowerCamelCase_				)

    if token_ids_a is not None:
     return ([0] * len(lowerCamelCase_				)) + [1] + ([0] * len(lowerCamelCase_				)) + [1, 1]
    return ([0] * len(lowerCamelCase_				)) + [1, 1]







   def 						lowerCamelCase_	(     self						:						Union[str, Any]   ,   lowerCamelCase_						:						List[int]   ,   lowerCamelCase_						:						Optional[List[int]] = None				):





    """simple docstring"""


    UpperCamelCase			  =      [self.sep_token_id]
    UpperCamelCase			  =      [2]

    if token_ids_a is None:
     return len(token_ids_a + sep				) * [0] + cls_segment_id
    return len(token_ids_a + sep				) * [0] + len(token_ids_a + sep				) * [1] + cls_segment_id







   def 						lowerCamelCase_	(     self						:						Union[str, Any]   ,   lowerCamelCase_						:						str   ,   lowerCamelCase_						:						Optional[str] = None				):





    """simple docstring"""


    if not os.path.isdir(lowerCamelCase_				):
     logger.error(f"""Vocabulary path ({save_directory}) should be a directory"""				)
     return
    UpperCamelCase			  =      os.path.join(
        lowerCamelCase_   ,   (filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]				)

    if os.path.abspath(self.vocab_file				) != os.path.abspath(lowerCamelCase_				) and os.path.isfile(self.vocab_file				):
     copyfile(self.vocab_file   ,   lowerCamelCase_				)
    elif not os.path.isfile(self.vocab_file				):
     with open(lowerCamelCase_   ,   """wb"""				) as fi:
      UpperCamelCase			  =      self.sp_model.serialized_model_proto()
      fi.write(lowerCamelCase_				)

    return (out_vocab_file,)







   def 						lowerCamelCase_	(     self						:						Optional[int]   ,   *lowerCamelCase_						:						List[str]   ,   **lowerCamelCase_						:						List[str]				):





    """simple docstring"""


    UpperCamelCase			  =      super()._decode(*lowerCamelCase_   ,   **lowerCamelCase_				)
    UpperCamelCase			  =      text.replace(""" """   ,   """"""				).replace("""\u2582"""   ,   """ """				).replace("""\u2583"""   ,   """\n"""				)
    return text

from datetime import datetime

import requests
from bsa import BeautifulSoup

if __name__ == "__main__":
     _SCREAMING_SNAKE_CASE 		=      input("""Enter image url: """).strip()
     print(F'''Downloading image from {url} ...''')
     _SCREAMING_SNAKE_CASE 		=      BeautifulSoup(requests.get(url).content, """html.parser""")
     # The image URL is in the content field of the first meta tag with property og:image
     _SCREAMING_SNAKE_CASE 		=      soup.find("""meta""", {"""property""": """og:image"""})["""content"""]
     _SCREAMING_SNAKE_CASE 		=      requests.get(image_url).content
     _SCREAMING_SNAKE_CASE 		=      F'''{datetime.now():%Y-%m-%d_%H:%M:%S}.jpg'''
     with open(file_name, """wb""") as fp:
          fp.write(image_data)
     print(F'''Done. Image saved to disk as {file_name}.''')
